Key Responsibilities
Lead the development of advanced ML and GenAI solutions to solve complex business problems across retail functions.Collect, validate, and synthesize large-scale datasets to support analytics and model development.Apply big data analytics and data science techniques to identify trends, patterns, and anomalies, and determine additional data requirements.Design, deploy, and maintain production-ready ML systems, including real-time and batch inference pipelines.Collaborate with business stakeholders to communicate insights, influence strategy, and drive data-backed decisions.Own the end-to-end ML lifecycle, including model training, evaluation, deployment, monitoring, and retraining.
Qualifications
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field with 7+ years of experience in data science.
- Proven experience deploying and managing AI/ML models.
- Hands-on experience implementing Generative AI–based solutions in production.
- Experience in scheduling jobs for automated training and inference of AI/ML models using airflow or any other workflow orchestration platform.
- Strong programming skills in Python and PySpark.
- Proficiency in SQL, relational databases, data warehouses, and BigQuery.
- Experience building and scaling personalized focused ML solutions, such as:
- Recommendation systems
- Cross-sell and up-sell models
- Category or customer propensity models
- Solid understanding of regression, classification, and unsupervised learning machine learning algorithms.
- Strong experience in data collection, data cleaning, preprocessing, and feature engineering.
- Proficiency in collecting data from different data sources, data cleaning, preprocessing, and feature engineering.
- Strong written and verbal communication skills, with the ability to present and explain complex concepts to both technical and non-technical audiences.
Skills: ai/ml,data science,ml
